mlsanityData to 14 Oct 2026

A Taxonomy and Dataset for 360deg Videos

arXiv 1905.03823 ↗First posted 9 May 2019cs.MMcited by 4

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Abstract (arXiv)

In this paper, we propose a taxonomy for 360deg videos that categorizes videos based on moving objects and camera motion. We gathered and produced 28 videos based on the taxonomy, and recorded viewport traces from 60 participants watching the videos. In addition to the viewport traces, we provide the viewers' feedback on their experience watching the videos, and we also analyze viewport patterns on each category.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 May 2019.

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Citing papers per year: 2024: 1; 2025: 3.

4 papers.

  1. 2024A review on Machine Learning based User-Centric Multimedia Streaming Techniquescited by 1
  2. 2025A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolutioncited by 1
  3. 2025Omnidirectional Video Super-Resolution using Deep Learningcited by 1
  4. 2025Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learningcited by 0